1. Is reinforcement learning memoryless? (Yes | No)
The answer is yes. Reinforcement learning is memoryless. The agent calculates the next state without looking into the past. This is significantly different to humans. Humans rely heavily on memory. A CPU-based reinforcement learning system finds solutions without experience. Human intelligence merely proves that intelligence can solve a problem. No more, no less. An adaptive thinker can then imagine new forms of machine intelligence.
2. Does reinforcement learning use stochastic (random) functions? (Yes | No)
The answer is yes. In the particular Markov Decision Process model, the choices are random. In just two questions, you can see that the Bellman equation is memoryless and makes random decisions. No human reasons like that. Being an adaptive thinker is a leap of faith. You will...
